The view from Condor's ecosystem!

Machine Learning, Python, and Automotive Mechanics

This is a nice front end on a Ferrari at the I.B.M. building in New York City.

Occasionally while sitting at a coffee counter attempting ubiquity as a disciple I’ll back away from my task and understand the unfolding soap opera that is our human social behavior a little better. We each are one of the demographically perfect patrons of an ecosystem designed in accordance with the most recent marketing or mathematics theory exiting campus on the lips and in the mind of the most recent of it’s recent graduates. This existence is an abstracted existence if the ecosystem is a meta-system drawn from our actual behaviors while actually visiting coffee establishments.

I’ll tip my hat to the author of the book being scrutinized in this report with the previous introductory paragraph colored in from a template developed from a favorite passage in the text of the book he wrote. The author is Stephen Baker and the book is The Numerati from way back in 2008. Stephen Baker displays a gift for ferreting out significant mining operations in both the public and private sector. He understates his own ability to comprehend the technologies he encounters while interviewing researches as a method of adding a grandness to the scale to their endeavors. He claims at one point to fall below the common popular science threshold of geek: the ability to read math sprinkled with Greek. He claims to shy away from math.

The music in the counter joint is trendy. My role is creator of a blog post. My mission: Write something that creates measurable potential within the imagination of my reading audience. My reading audience is an actual ecosystem: the Fedora Community.

I just now placed Stephen Baker’s 2014 work of fiction on hold at the library. Why doesn’t the site take a best guess for delivery of my selection when I place the book on hold? Then I could adjust my reading schedule based on the authority of the library site. The other library patrons could then do the same and we could all be more efficient.

The hard copy of an IBM white paper (White Paper) in front of me about machine learning in Python that was published in 2012 will be woven into the report as a value added feature. The white paper is a beginners guide to both topics and thin on details, it is a snapshot and a wide angle view, therefore be prepared for a lot of stuff if following the link provided in this paragraph. It is provided, because it of value to the reading audience. It’ll be used along with the writing of Stephen Baker in at least one more report.

Based on boots on the ground on this planet and programming experience Unit testing is an important technology mentioned in the white paper (Unit testing), knowledge of Unit testing is marketable knowledge. In the same way everyone should have knowledge of Gnu Make, but knowledge of Qt is only of interest to some; everyone should have knowledge of Unit testing, while Clustering (Clustering) is only of interest to those involved with data mining or a similar activity. The Natural Language Toolkit (nltk), also mentioned in the white paper is worth investing time into.

Now then, The Numerati is not about world dominating corporations performing transgressions against human populations irregardless of the national boundaries that are crossed in the aimless pursuit of their profits. No, no, no. It’s also not concerned with political organizations securing consensus in domestic populations by quieting opinions through the annihilation of the populations harboring the offensive opinions.

The Numerati is about a prime time fantastic voyage through a dog digestion aired on broadcast television a few weeks ago and foretold of in the The Numerati. Therefore, does Stephen Baker have a Nostradamus touch? Maybe he does or maybe he is just a fantastic researcher. This book is also about the people who made the flora surrounding your web content change whenever you are on vacation. These are people such as you and I. Much to his credit Stephen Baker did not embellish these researchers to the extent that those such as us do not ask, “How do I get that job?”

Alright, that’s enough of that. I’ve a bunch of bullets on my list include: Tom Clancy, Tom Cruise, and a movie called The Minority Report. We will have to wait for part two of the report for most of these bullet items, all except for Tom Clancy. Rest his soul, Tom Clancy did fabulous research and the Hunt For Red October was a fabulous read. You will have a far better time writing your own machine learning code after having gone through The Numerati than you you will ever have a time attempting building an atomic bomb reading every last word Tom Clancy ever wrote. For a guy who begs off of mathematical equations Stephen Baker’s descriptions of algorithms express detailed knowledge of what’s under the hood.

A vintage Stutz front end suspension seen at the I.B.M. building. in Manhattan. What is that thing that looks like a dampener in the center right of the photo? If your shop is a front end shop, do they bid these jobs?